Optimization of Crop Production using Machine Learning

Optimization of Crop Production using Machine Learning

Ayush Sagore*, Mohit Rakhade**, Riddhi Jha***, Rushikesh Kate****

(Department of Information Technology, Government College of Engineering, Amravati - 444601,

Maharashtra, India

Abstract

There is always a need to enhance food production to meet the food needs of the world.  Agriculture suffers due to a lack of water management, land allocation, crop selection, climate changes, transportation, labour, marketing, and other resources, leading to low crop production.

Optimization of crop production software is the integration of technology and digital mechanisms into agricultural processes for more efficient output.  Optimization of Crop Production is a WEBSITE application and a trained model which provided a machine learning–aided software for farmland optimization, using various inputs such as location, crop type, soil type, soil pH, amount of Nitrogen, Phosphorus, and Potassium, location temperature, humidity and spacing between crops.

Keywords – Machine Learning, Deep Learning, TensorFlow, Keras, K Means Clustering, Convolution Neural Network, Logistic Regression.